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book part or chapter
DNN-based Speech Synthesis: Importance of input features and training data
Lazaridis, Alexandros
•
Potard, Blaise
•
Garner, Philip N.
Deep neural networks (DNNs) have been recently introduced in speech synthesis. In this paper, an investigation on the importance of input features and training data on speaker dependent (SD) DNN-based speech synthesis is presented. Various aspects of the training procedure of DNNs are investigated in this work. Additionally, several training sets of different size (i.e., 13.5, 3.6 and 1.5 h of speech) are evaluated.
Type
book part or chapter
Authors
Lazaridis, Alexandros
•
Potard, Blaise
•
Garner, Philip N.
Editors
Ronzhin, A.
•
Potapova, R.
•
Fakotakis, N.
Publication date
2015
Publisher
Published in
Speech and Computer
ISBN of the book
978-3-319-23131-0
Start page
193
End page
200
Series title/Series vol.
Lecture Notes in Computer Science; 9319
EPFL units
Available on Infoscience
June 19, 2015
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